Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	20758
Missing cells	0
Missing cells (%)	0.0%
Total size in memory	2.8 MiB
Average record size in memory	140.0 B

Variable types

Numeric	10
Text	8

Alerts

`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`FAF` has 5044 (24.3%) zeros	Zeros
`TUE` has 6566 (31.6%) zeros	Zeros
`NObeyesdad` has 2523 (12.2%) zeros	Zeros

Reproduction

Analysis started	2024-11-03 16:46:07.742892
Analysis finished	2024-11-03 16:46:49.154639
Duration	41.41 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

id
Real number (ℝ)

UNIFORM UNIQUE

Distinct	20758
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10378.5

Minimum	0
Maximum	20757
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1037.85
Q1	5189.25
median	10378.5
Q3	15567.75
95-th percentile	19719.15
Maximum	20757
Range	20757
Interquartile range (IQR)	10378.5

Descriptive statistics

Standard deviation	5992.46278
Coefficient of variation (CV)	0.5773919911
Kurtosis	-1.2
Mean	10378.5
Median Absolute Deviation (MAD)	5189.5
Skewness	0
Sum	215436903
Variance	35909610.17
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
13826	1	< 0.1%
13844	1	< 0.1%
13843	1	< 0.1%
13842	1	< 0.1%
13841	1	< 0.1%
13840	1	< 0.1%
13839	1	< 0.1%
13838	1	< 0.1%
13837	1	< 0.1%
Other values (20748)	20748	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
20757	1	< 0.1%
20756	1	< 0.1%
20755	1	< 0.1%
20754	1	< 0.1%
20753	1	< 0.1%

Gender
Text

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	6
Median length	6
Mean length	5.004142981
Min length	4

Characters and Unicode

Total characters	103876
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Value	Count	Frequency (%)
female	10422	50.2%
male	10336	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	31180	30.0%
a	20758	20.0%
l	20758	20.0%
F	10422	10.0%
m	10422	10.0%
M	10336	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83118	80.0%
Uppercase Letter	20758	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	31180	37.5%
a	20758	25.0%
l	20758	25.0%
m	10422	12.5%

Uppercase Letter

Value	Count	Frequency (%)
F	10422	50.2%
M	10336	49.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	103876	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	31180	30.0%
a	20758	20.0%
l	20758	20.0%
F	10422	10.0%
m	10422	10.0%
M	10336	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103876	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	31180	30.0%
a	20758	20.0%
l	20758	20.0%
F	10422	10.0%
m	10422	10.0%
M	10336	10.0%

Age
Real number (ℝ)

Distinct	1703
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.84180442

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	14
5-th percentile	17.98957735
Q1	20
median	22.815416
Q3	26
95-th percentile	35.46041725
Maximum	61
Range	47
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.688071959
Coefficient of variation (CV)	0.238575565
Kurtosis	3.700597749
Mean	23.84180442
Median Absolute Deviation (MAD)	3.184584
Skewness	1.586251709
Sum	494908.1761
Variance	32.35416261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	1916	9.2%
26	1806	8.7%
21	1643	7.9%
23	1202	5.8%
19	886	4.3%
20	530	2.6%
17	516	2.5%
22	512	2.5%
33	209	1.0%
24	164	0.8%
Other values (1693)	11374	54.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	5	< 0.1%
15	3	< 0.1%
16	109	0.5%
16.093234	4	< 0.1%
16.120699	1	< 0.1%

Value	Count	Frequency (%)
61	2	< 0.1%
56	1	< 0.1%
55.493687	1	< 0.1%
55.272573	1	< 0.1%
55.24625	2	< 0.1%

Height
Real number (ℝ)

Distinct	1833
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.700244935

Minimum	1.45
Maximum	1.975663
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.559005
Q1	1.631856
median	1.7
Q3	1.762887
95-th percentile	1.84629
Maximum	1.975663
Range	0.525663
Interquartile range (IQR)	0.131031

Descriptive statistics

Standard deviation	0.0873119057
Coefficient of variation (CV)	0.05135254568
Kurtosis	-0.5596340867
Mean	1.700244935
Median Absolute Deviation (MAD)	0.066055
Skewness	0.01580267619
Sum	35293.68436
Variance	0.007623368876
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	1334	6.4%
1.65	782	3.8%
1.6	672	3.2%
1.75	659	3.2%
1.8	517	2.5%
1.62	398	1.9%
1.72	317	1.5%
1.56	256	1.2%
1.63	239	1.2%
1.55	211	1.0%
Other values (1823)	15373	74.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.45	2	< 0.1%
1.456346	2	< 0.1%
1.463167	1	< 0.1%
1.48	9	< 0.1%
1.481682	1	< 0.1%

Value	Count	Frequency (%)
1.975663	4	< 0.1%
1.947406	4	< 0.1%
1.942725	4	< 0.1%
1.931263	2	< 0.1%
1.931242	1	< 0.1%

Weight
Real number (ℝ)

Distinct	1979
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.8877684

Minimum	39
Maximum	165.057269
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	39
5-th percentile	49
Q1	66
median	84.064875
Q3	111.600553
95-th percentile	132.116491
Maximum	165.057269
Range	126.057269
Interquartile range (IQR)	45.600553

Descriptive statistics

Standard deviation	26.37944308
Coefficient of variation (CV)	0.3001491966
Kurtosis	-0.9970433336
Mean	87.8877684
Median Absolute Deviation (MAD)	22.9471315
Skewness	0.09318727954
Sum	1824374.297
Variance	695.875017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	866	4.2%
75	630	3.0%
50	618	3.0%
60	506	2.4%
70	486	2.3%
45	323	1.6%
65	306	1.5%
85	297	1.4%
78	293	1.4%
42	275	1.3%
Other values (1969)	16158	77.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
39	1	< 0.1%
39.101805	5	< 0.1%
39.12631	1	< 0.1%
39.371523	2	< 0.1%
39.535047	1	< 0.1%

Value	Count	Frequency (%)
165.057269	4	< 0.1%
160.935351	14	0.1%
160.639405	3	< 0.1%
155.872093	3	< 0.1%
155.242672	3	< 0.1%

family_history_with_overweight
Text

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	3
Median length	3
Mean length	2.819635803
Min length	2

Characters and Unicode

Total characters	58530
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	yes
3rd row	yes
4th row	yes
5th row	yes

Value	Count	Frequency (%)
yes	17014	82.0%
no	3744	18.0%

Most occurring characters

Value	Count	Frequency (%)
y	17014	29.1%
e	17014	29.1%
s	17014	29.1%
n	3744	6.4%
o	3744	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58530	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
y	17014	29.1%
e	17014	29.1%
s	17014	29.1%
n	3744	6.4%
o	3744	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58530	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
y	17014	29.1%
e	17014	29.1%
s	17014	29.1%
n	3744	6.4%
o	3744	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
y	17014	29.1%
e	17014	29.1%
s	17014	29.1%
n	3744	6.4%
o	3744	6.4%

FAVC
Text

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	3
Median length	3
Mean length	2.914442625
Min length	2

Characters and Unicode

Total characters	60498
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	yes
3rd row	yes
4th row	yes
5th row	yes

Value	Count	Frequency (%)
yes	18982	91.4%
no	1776	8.6%

Most occurring characters

Value	Count	Frequency (%)
y	18982	31.4%
e	18982	31.4%
s	18982	31.4%
n	1776	2.9%
o	1776	2.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60498	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
y	18982	31.4%
e	18982	31.4%
s	18982	31.4%
n	1776	2.9%
o	1776	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60498	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
y	18982	31.4%
e	18982	31.4%
s	18982	31.4%
n	1776	2.9%
o	1776	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60498	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
y	18982	31.4%
e	18982	31.4%
s	18982	31.4%
n	1776	2.9%
o	1776	2.9%

FCVC
Real number (ℝ)

Distinct	934
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.445908393

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1.826885
Q1	2
median	2.393837
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5332181545
Coefficient of variation (CV)	0.2180041395
Kurtosis	-0.8929961324
Mean	2.445908393
Median Absolute Deviation (MAD)	0.408223
Skewness	-0.356611247
Sum	50772.16642
Variance	0.2843216002
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	7658	36.9%
2	7653	36.9%
1	275	1.3%
2.9673	121	0.6%
2.766612	54	0.3%
2.938616	46	0.2%
2.9553	39	0.2%
2.57649	30	0.1%
2.819934	30	0.1%
2.225149	29	0.1%
Other values (924)	4823	23.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	275	1.3%
1.002564	1	< 0.1%
1.003566	6	< 0.1%
1.005578	13	0.1%
1.006436	1	< 0.1%

Value	Count	Frequency (%)
3	7658	36.9%
2.998441	2	< 0.1%
2.997951	11	0.1%
2.997524	5	< 0.1%
2.997062	1	< 0.1%

NCP
Real number (ℝ)

Distinct	689
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.761332307

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	3
95-th percentile	3.520555
Maximum	4
Range	3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7053745959
Coefficient of variation (CV)	0.2554471963
Kurtosis	1.837269616
Mean	2.761332307
Median Absolute Deviation (MAD)	0
Skewness	-1.562253291
Sum	57319.73602
Variance	0.4975533205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	14706	70.8%
1	1976	9.5%
4	715	3.4%
2.993623	39	0.2%
2.695396	25	0.1%
2.977909	22	0.1%
2.992083	21	0.1%
1.894384	21	0.1%
2.658837	20	0.1%
2.938902	20	0.1%
Other values (679)	3193	15.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1976	9.5%
1.000283	5	< 0.1%
1.000414	2	< 0.1%
1.00061	7	< 0.1%
1.001383	6	< 0.1%

Value	Count	Frequency (%)
4	715	3.4%
3.998766	3	< 0.1%
3.998618	6	< 0.1%
3.995957	5	< 0.1%
3.995147	5	< 0.1%

CAEC
Text

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	10
Median length	9
Mean length	8.955920609
Min length	2

Characters and Unicode

Total characters	185907
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Frequently
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Value	Count	Frequency (%)
sometimes	17529	84.4%
frequently	2472	11.9%
always	478	2.3%
no	279	1.3%

Most occurring characters

Value	Count	Frequency (%)
e	40002	21.5%
m	35058	18.9%
t	20001	10.8%
s	18007	9.7%
o	17808	9.6%
S	17529	9.4%
i	17529	9.4%
y	2950	1.6%
l	2950	1.6%
n	2751	1.5%
Other values (7)	11322	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	165428	89.0%
Uppercase Letter	20479	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	40002	24.2%
m	35058	21.2%
t	20001	12.1%
s	18007	10.9%
o	17808	10.8%
i	17529	10.6%
y	2950	1.8%
l	2950	1.8%
n	2751	1.7%
r	2472	1.5%
Other values (4)	5900	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	17529	85.6%
F	2472	12.1%
A	478	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	185907	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	40002	21.5%
m	35058	18.9%
t	20001	10.8%
s	18007	9.7%
o	17808	9.6%
S	17529	9.4%
i	17529	9.4%
y	2950	1.6%
l	2950	1.6%
n	2751	1.5%
Other values (7)	11322	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	185907	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	40002	21.5%
m	35058	18.9%
t	20001	10.8%
s	18007	9.7%
o	17808	9.6%
S	17529	9.4%
i	17529	9.4%
y	2950	1.6%
l	2950	1.6%
n	2751	1.5%
Other values (7)	11322	6.1%

SMOKE
Text

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	3
Median length	2
Mean length	2.011802678
Min length	2

Characters and Unicode

Total characters	41761
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Value	Count	Frequency (%)
no	20513	98.8%
yes	245	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	20513	49.1%
o	20513	49.1%
y	245	0.6%
e	245	0.6%
s	245	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41761	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	20513	49.1%
o	20513	49.1%
y	245	0.6%
e	245	0.6%
s	245	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41761	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	20513	49.1%
o	20513	49.1%
y	245	0.6%
e	245	0.6%
s	245	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41761	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	20513	49.1%
o	20513	49.1%
y	245	0.6%
e	245	0.6%
s	245	0.6%

CH2O
Real number (ℝ)

Distinct	1506
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.029418244

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.792022
median	2
Q3	2.549617
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.757595

Descriptive statistics

Standard deviation	0.6084670185
Coefficient of variation (CV)	0.2998233707
Kurtosis	-0.7441799892
Mean	2.029418244
Median Absolute Deviation (MAD)	0.409582
Skewness	-0.2125058334
Sum	42126.6639
Variance	0.3702321125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	6616	31.9%
1	2799	13.5%
3	1571	7.6%
2.825629	77	0.4%
2.868167	60	0.3%
2.619517	57	0.3%
2.625537	56	0.3%
2.72005	52	0.3%
2.770732	51	0.2%
2.613928	47	0.2%
Other values (1496)	9372	45.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2799	13.5%
1.000463	5	< 0.1%
1.000536	4	< 0.1%
1.000544	7	< 0.1%
1.000695	3	< 0.1%

Value	Count	Frequency (%)
3	1571	7.6%
2.999495	3	< 0.1%
2.99675	1	< 0.1%
2.994515	2	< 0.1%
2.993448	1	< 0.1%

SCC
Text

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	3
Median length	2
Mean length	2.033095674
Min length	2

Characters and Unicode

Total characters	42203
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Value	Count	Frequency (%)
no	20071	96.7%
yes	687	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	20071	47.6%
o	20071	47.6%
y	687	1.6%
e	687	1.6%
s	687	1.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42203	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	20071	47.6%
o	20071	47.6%
y	687	1.6%
e	687	1.6%
s	687	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42203	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	20071	47.6%
o	20071	47.6%
y	687	1.6%
e	687	1.6%
s	687	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42203	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	20071	47.6%
o	20071	47.6%
y	687	1.6%
e	687	1.6%
s	687	1.6%

FAF
Real number (ℝ)

ZEROS

Distinct	1360
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9817465551

Minimum	0
Maximum	3
Zeros	5044
Zeros (%)	24.3%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.008013
median	1
Q3	1.587406
95-th percentile	2.545707
Maximum	3
Range	3
Interquartile range (IQR)	1.579393

Descriptive statistics

Standard deviation	0.838301976
Coefficient of variation (CV)	0.8538883805
Kurtosis	-0.4948424237
Mean	0.9817465551
Median Absolute Deviation (MAD)	0.870098
Skewness	0.5057262218
Sum	20379.09499
Variance	0.7027502029
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5044	24.3%
1	4097	19.7%
2	2391	11.5%
3	800	3.9%
1.097905	56	0.3%
1.427037	47	0.2%
0.01586	47	0.2%
1.68249	39	0.2%
1.999836	36	0.2%
1.465931	32	0.2%
Other values (1350)	8169	39.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5044	24.3%
9.6 × 10^-5	10	< 0.1%
0.000272	9	< 0.1%
0.000454	11	0.1%
0.001015	12	0.1%

Value	Count	Frequency (%)
3	800	3.9%
2.999918	3	< 0.1%
2.993666	1	< 0.1%
2.977543	1	< 0.1%
2.971832	3	< 0.1%

TUE
Real number (ℝ)

ZEROS

Distinct	1297
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6167562237

Minimum	0
Maximum	2
Zeros	6566
Zeros (%)	31.6%
Negative	0
Negative (%)	0.0%
Memory size	162.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.573887
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.602113477
Coefficient of variation (CV)	0.9762584533
Kurtosis	-0.4177297989
Mean	0.6167562237
Median Absolute Deviation (MAD)	0.450026
Skewness	0.6704113441
Sum	12802.62569
Variance	0.3625406392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6566	31.6%
1	4326	20.8%
2	1133	5.5%
0.0026	78	0.4%
0.723154	65	0.3%
0.088236	53	0.3%
0.15171	52	0.3%
0.630866	45	0.2%
0.62535	41	0.2%
0.200379	38	0.2%
Other values (1287)	8361	40.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6566	31.6%
7.3 × 10^-5	2	< 0.1%
0.000355	2	< 0.1%
0.000436	3	< 0.1%
0.001096	5	< 0.1%

Value	Count	Frequency (%)
2	1133	5.5%
1.99219	2	< 0.1%
1.990925	1	< 0.1%
1.990617	4	< 0.1%
1.983678	1	< 0.1%

CALC
Text

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	10
Median length	9
Mean length	7.284420464
Min length	2

Characters and Unicode

Total characters	151210
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	no
3rd row	no
4th row	Sometimes
5th row	Sometimes

Value	Count	Frequency (%)
sometimes	15066	72.6%
no	5163	24.9%
frequently	529	2.5%

Most occurring characters

Value	Count	Frequency (%)
e	31190	20.6%
m	30132	19.9%
o	20229	13.4%
t	15595	10.3%
S	15066	10.0%
i	15066	10.0%
s	15066	10.0%
n	5692	3.8%
F	529	0.3%
r	529	0.3%
Other values (4)	2116	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135615	89.7%
Uppercase Letter	15595	10.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	31190	23.0%
m	30132	22.2%
o	20229	14.9%
t	15595	11.5%
i	15066	11.1%
s	15066	11.1%
n	5692	4.2%
r	529	0.4%
q	529	0.4%
u	529	0.4%
Other values (2)	1058	0.8%

Uppercase Letter

Value	Count	Frequency (%)
S	15066	96.6%
F	529	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	151210	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	31190	20.6%
m	30132	19.9%
o	20229	13.4%
t	15595	10.3%
S	15066	10.0%
i	15066	10.0%
s	15066	10.0%
n	5692	3.8%
F	529	0.3%
r	529	0.3%
Other values (4)	2116	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	151210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	31190	20.6%
m	30132	19.9%
o	20229	13.4%
t	15595	10.3%
S	15066	10.0%
i	15066	10.0%
s	15066	10.0%
n	5692	3.8%
F	529	0.3%
r	529	0.3%
Other values (4)	2116	1.4%

MTRANS
Text

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	162.3 KiB

Length

Max length	21
Median length	21
Mean length	18.76413913
Min length	4

Characters and Unicode

Total characters	389506
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Automobile
3rd row	Public_Transportation
4th row	Public_Transportation
5th row	Public_Transportation

Value	Count	Frequency (%)
public_transportation	16687	80.4%
automobile	3534	17.0%
walking	467	2.2%
motorbike	38	0.2%
bike	32	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	40518	10.4%
i	37445	9.6%
t	36946	9.5%
a	33841	8.7%
n	33841	8.7%
r	33412	8.6%
l	20688	5.3%
b	20259	5.2%
u	20221	5.2%
P	16687	4.3%
Other values (13)	95648	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	335374	86.1%
Uppercase Letter	37445	9.6%
Connector Punctuation	16687	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	40518	12.1%
i	37445	11.2%
t	36946	11.0%
a	33841	10.1%
n	33841	10.1%
r	33412	10.0%
l	20688	6.2%
b	20259	6.0%
u	20221	6.0%
p	16687	5.0%
Other values (6)	41516	12.4%

Uppercase Letter

Value	Count	Frequency (%)
P	16687	44.6%
T	16687	44.6%
A	3534	9.4%
W	467	1.2%
M	38	0.1%
B	32	0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	16687	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	372819	95.7%
Common	16687	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	40518	10.9%
i	37445	10.0%
t	36946	9.9%
a	33841	9.1%
n	33841	9.1%
r	33412	9.0%
l	20688	5.5%
b	20259	5.4%
u	20221	5.4%
P	16687	4.5%
Other values (12)	78961	21.2%

Common

Value	Count	Frequency (%)
_	16687	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	389506	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	40518	10.4%
i	37445	9.6%
t	36946	9.5%
a	33841	8.7%
n	33841	8.7%
r	33412	8.6%
l	20688	5.3%
b	20259	5.2%
u	20221	5.2%
P	16687	4.3%
Other values (13)	95648	24.6%

NObeyesdad
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.991473167

Minimum	0
Maximum	6
Zeros	2523
Zeros (%)	12.2%
Negative	0
Negative (%)	0.0%
Memory size	81.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.893176103
Coefficient of variation (CV)	0.6328574576
Kurtosis	-1.111076134
Mean	2.991473167
Median Absolute Deviation (MAD)	2
Skewness	-0.01581985557
Sum	62097
Variance	3.584115756
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	4046	19.5%
3	3248	15.6%
1	3082	14.8%
2	2910	14.0%
0	2523	12.2%
6	2522	12.1%
5	2427	11.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2523	12.2%
1	3082	14.8%
2	2910	14.0%
3	3248	15.6%
4	4046	19.5%

Value	Count	Frequency (%)
6	2522	12.1%
5	2427	11.7%
4	4046	19.5%
3	3248	15.6%
2	2910	14.0%

Heatmap
Table

	Age	CH2O	FAF	FCVC	Height	NCP	NObeyesdad	TUE	Weight	id
Age	1.000	0.093	-0.278	0.097	0.016	-0.120	0.323	-0.303	0.441	0.010
CH2O	0.093	1.000	0.058	0.107	0.188	0.083	0.182	-0.000	0.349	0.012
FAF	-0.278	0.058	1.000	-0.095	0.318	0.111	-0.103	-0.011	-0.071	0.017
FCVC	0.097	0.107	-0.095	1.000	-0.115	0.134	0.056	-0.130	0.225	0.005
Height	0.016	0.188	0.318	-0.115	1.000	0.109	0.043	0.084	0.420	0.011
NCP	-0.120	0.083	0.111	0.134	0.109	1.000	-0.146	0.128	-0.022	0.001
NObeyesdad	0.323	0.182	-0.103	0.056	0.043	-0.146	1.000	-0.068	0.429	0.012
TUE	-0.303	-0.000	-0.011	-0.130	0.084	0.128	-0.068	1.000	-0.066	0.008
Weight	0.441	0.349	-0.071	0.225	0.420	-0.022	0.429	-0.066	1.000	0.014
id	0.010	0.012	0.017	0.005	0.011	0.001	0.012	0.008	0.014	1.000

Heatmap
Table

	id	Age	Height	Weight	FCVC	NCP	CH2O	FAF	TUE	NObeyesdad
id	1.000	0.008	0.012	0.014	0.002	-0.000	0.008	0.017	0.008	0.012
Age	0.008	1.000	-0.012	0.283	0.034	-0.048	-0.016	-0.192	-0.296	0.283
Height	0.012	-0.012	1.000	0.417	-0.072	0.191	0.184	0.295	0.076	0.061
Weight	0.014	0.283	0.417	1.000	0.246	0.096	0.318	-0.085	-0.086	0.432
FCVC	0.002	0.034	-0.072	0.246	1.000	0.113	0.101	-0.090	-0.148	0.041
NCP	-0.000	-0.048	0.191	0.096	0.113	1.000	0.081	0.101	0.067	-0.091
CH2O	0.008	-0.016	0.184	0.318	0.101	0.081	1.000	0.083	-0.011	0.187
FAF	0.017	-0.192	0.295	-0.085	-0.090	0.101	0.083	1.000	0.021	-0.097
TUE	0.008	-0.296	0.076	-0.086	-0.148	0.067	-0.011	0.021	1.000	-0.076
NObeyesdad	0.012	0.283	0.061	0.432	0.041	-0.091	0.187	-0.097	-0.076	1.000

Heatmap
Table

	id	Age	Height	Weight	FCVC	NCP	CH2O	FAF	TUE	NObeyesdad
id	1.000	0.010	0.011	0.014	0.005	0.001	0.012	0.017	0.008	0.012
Age	0.010	1.000	0.016	0.441	0.097	-0.120	0.093	-0.278	-0.303	0.323
Height	0.011	0.016	1.000	0.420	-0.115	0.109	0.188	0.318	0.084	0.043
Weight	0.014	0.441	0.420	1.000	0.225	-0.022	0.349	-0.071	-0.066	0.429
FCVC	0.005	0.097	-0.115	0.225	1.000	0.134	0.107	-0.095	-0.130	0.056
NCP	0.001	-0.120	0.109	-0.022	0.134	1.000	0.083	0.111	0.128	-0.146
CH2O	0.012	0.093	0.188	0.349	0.107	0.083	1.000	0.058	-0.000	0.182
FAF	0.017	-0.278	0.318	-0.071	-0.095	0.111	0.058	1.000	-0.011	-0.103
TUE	0.008	-0.303	0.084	-0.066	-0.130	0.128	-0.000	-0.011	1.000	-0.068
NObeyesdad	0.012	0.323	0.043	0.429	0.056	-0.146	0.182	-0.103	-0.068	1.000

Heatmap
Table

	id	Age	Height	Weight	FCVC	NCP	CH2O	FAF	TUE	NObeyesdad
id	1.000	0.007	0.007	0.010	0.003	0.000	0.009	0.012	0.006	0.009
Age	0.007	1.000	0.012	0.296	0.067	-0.092	0.065	-0.199	-0.229	0.234
Height	0.007	0.012	1.000	0.287	-0.084	0.083	0.135	0.223	0.059	0.026
Weight	0.010	0.296	0.287	1.000	0.174	-0.008	0.244	-0.043	-0.042	0.317
FCVC	0.003	0.067	-0.084	0.174	1.000	0.117	0.085	-0.076	-0.096	0.063
NCP	0.000	-0.092	0.083	-0.008	0.117	1.000	0.066	0.089	0.106	-0.116
CH2O	0.009	0.065	0.135	0.244	0.085	0.066	1.000	0.042	0.002	0.145
FAF	0.012	-0.199	0.223	-0.043	-0.076	0.089	0.042	1.000	-0.004	-0.076
TUE	0.006	-0.229	0.059	-0.042	-0.096	0.106	0.002	-0.004	1.000	-0.040
NObeyesdad	0.009	0.234	0.026	0.317	0.063	-0.116	0.145	-0.076	-0.040	1.000

Heatmap
Table

	id	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
id	1.000	0.000	0.000	0.015	0.017	0.000	0.006	0.006	0.017	0.000	0.009	0.016	0.000	0.025	0.000	0.000	0.012	0.029
Gender	0.000	1.000	0.340	0.806	0.670	0.149	0.032	0.522	0.209	0.107	0.098	0.412	0.095	0.452	0.277	0.052	0.138	0.575
Age	0.000	0.340	1.000	0.450	0.683	0.392	0.166	0.414	0.331	0.258	0.185	0.462	0.152	0.434	0.519	0.310	0.700	0.591
Height	0.015	0.806	0.450	1.000	0.677	0.391	0.200	0.343	0.309	0.237	0.144	0.446	0.191	0.464	0.351	0.206	0.201	0.481
Weight	0.017	0.670	0.683	0.677	1.000	0.746	0.311	0.560	0.476	0.489	0.100	0.619	0.267	0.675	0.558	0.437	0.356	0.847
family_history_with_overweight	0.000	0.149	0.392	0.391	0.746	1.000	0.236	0.156	0.291	0.496	0.026	0.323	0.258	0.245	0.269	0.009	0.108	0.518
FAVC	0.006	0.032	0.166	0.200	0.311	0.236	1.000	0.108	0.063	0.205	0.021	0.179	0.174	0.180	0.180	0.071	0.101	0.255
FCVC	0.006	0.522	0.414	0.343	0.560	0.156	0.108	1.000	0.279	0.152	0.036	0.393	0.048	0.379	0.373	0.267	0.214	0.544
NCP	0.017	0.209	0.331	0.309	0.476	0.291	0.063	0.279	1.000	0.262	0.013	0.269	0.086	0.341	0.266	0.216	0.133	0.407
CAEC	0.000	0.107	0.258	0.237	0.489	0.496	0.205	0.152	0.262	1.000	0.031	0.232	0.193	0.199	0.207	0.104	0.086	0.459
SMOKE	0.009	0.098	0.185	0.144	0.100	0.026	0.021	0.036	0.013	0.031	1.000	0.064	0.023	0.050	0.035	0.013	0.035	0.094
CH2O	0.016	0.412	0.462	0.446	0.619	0.323	0.179	0.393	0.269	0.232	0.064	1.000	0.090	0.452	0.427	0.260	0.207	0.488
SCC	0.000	0.095	0.152	0.191	0.267	0.258	0.174	0.048	0.086	0.193	0.023	0.090	1.000	0.101	0.091	0.000	0.040	0.207
FAF	0.025	0.452	0.434	0.464	0.675	0.245	0.180	0.379	0.341	0.199	0.050	0.452	0.101	1.000	0.427	0.250	0.251	0.471
TUE	0.000	0.277	0.519	0.351	0.558	0.269	0.180	0.373	0.266	0.207	0.035	0.427	0.091	0.427	1.000	0.270	0.302	0.454
CALC	0.000	0.052	0.310	0.206	0.437	0.009	0.071	0.267	0.216	0.104	0.013	0.260	0.000	0.250	0.270	1.000	0.099	0.419
MTRANS	0.012	0.138	0.700	0.201	0.356	0.108	0.101	0.214	0.133	0.086	0.035	0.207	0.040	0.251	0.302	0.099	1.000	0.257
NObeyesdad	0.029	0.575	0.591	0.481	0.847	0.518	0.255	0.544	0.407	0.459	0.094	0.488	0.207	0.471	0.454	0.419	0.257	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter